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pierreguillou
/
layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384

Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv2
object-detection
vision
Generated from Trainer
DocLayNet
COCO
PDF
IBM
Financial-Reports
Finance
Manuals
Scientific-Articles
Science
Laws
Law
Regulations
Patents
Government-Tenders
image-segmentation
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384")
    model = AutoModelForTokenClassification.from_pretrained("pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384")
  • Notebooks
  • Google Colab
  • Kaggle
layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384 / runs /Mar03_19-41-45_20731f597183
14 kB
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  • 1 contributor
History: 2 commits
pierreguillou's picture
pierreguillou
End of training
45c3ac9 about 3 years ago
  • 1677874488.330263
    Training in progress, step 7200 about 3 years ago
  • events.out.tfevents.1677874488.20731f597183.2210.0
    7.59 kB
    xet
    End of training about 3 years ago
  • events.out.tfevents.1677878641.20731f597183.2210.2
    512 Bytes
    xet
    End of training about 3 years ago